祝贺德国爱因斯坦科技有限公司2022年成为宝马汽车项目供应商,项目周期三年。
Author Archive: admin_kangliu
德国博世集团雷达项目合作伙伴
德国博世集团是车载雷达行业的先驱,其前向雷达和中远距雷达是整个雷达行业的标杆。博世雷达的天线设计与工艺,雷达传感器结构设计与制造,博世雷达产品本身就是一件件艺术品,诠释了德国制造的精髓。我们公司凭借自己在雷达信号处理方向的技术特点与优势,非常荣幸地加入博世集团的雷达研发项目。祝贺公司团队取得的成绩。
Bosch Group is a pioneer in the automotive radar industry, and its front radar and middle-long-range radar are benchmarks in the entire radar industry. Bosch radar antenna design and technology, radar sensor structure design and manufacturing, Bosch radar products themselves are works of art, interpreting the essence of German manufacturing. With its technical features and advantages in radar signal processing, our company is very honored to join the radar research and development project of Bosch Group. Congratulations to our company team for their achievements.
mmWave Radar Joint Lab established
Einstein E-Tech GmbH established a joint lab for mmWave Radar with China Jiliang University in October 2021.
This Joint Lab is targeting to set up a Collaboration between Industry and University and carry out deeper research in mmWave Radar MIMO Imaging, SAR Imaging, and 4D Imaging Radar.
Unmanned Vehicle Simulation Contest
Our research team won the Excellence Prize in 2020 Zhejiang Lab Cup Gobal AI Competition in the subject “Unmanned Vehicle Simulation Contest”.
Congratulations!
团队在2020之江杯全球人工智能大赛决赛中荣获无人车安全驾驶仿真赛三等奖。
Government Grants Awarded
Congratulations!
Our team leader Prof. Tan has awarded the government grant for “Research on SAR 3D Imaging technology for 77GHz mmWave Radar”. This project will be supported for three years from 2021-2023.
浙江省计量科学研究院合作单位
公司在杭州设立中德无人驾驶研发中心与浙江省计量科学研究院将在毫米波雷达与车联网项目上开展合作项目。
德国宝马Digital Key项目的合作伙伴
宝马是与苹果合作的全球首个汽车品牌,向其客户提供iPhone上的数字汽车钥匙: 将来,您可以在兼容的iPhone上设置汽车钥匙,并且如果您愿意,甚至可以邀请多达五个朋友使用它。
Einstein E-Tech GmbH参与数字汽车钥匙子项目开发。
Paper accepted in IET IRC 2020
Congratulations! Our paper “Micro-Doppler Feature and Image based Human Activity Classification with FMCW Radar” has been accepted in IET International Radar Conference 2020.
Paper published in IEEE RadarConf 2020
Congratulatons! Our paper is published on the 2020 IEEE Radar conference. The title of the paper is “A Coarse-to-Fine Robust Estimation of FMCW Radar Signal for Vital Sign Detection” by Kang Liu and Yuanhui Zhang.
